Articles on Data
Displaying 361 - 380 of 494 articles
How do diverse movies fare in the international box office? What time do trolls like to post their comments? We look back on some of this year’s most intriguing graphs and maps.
The squeeze on wealth in the middle class by those at the top is a long established trend in international inequality data. But the ABS doesn’t provide this information.
Predicting human behavior is big business. But science may never be able to do so with perfect certainty.
Robots, like drones, are filtering the natural world through algorithms and turning the world into data.
Some social groups are falling through the gaps of fertility data. Men, ethnic minorities and the LGBT community have explicitly been excluded from surveys.
The risks of big data are not getting enough attention.
A meteorologist and a music technologist team up to turn the data from tropical storms into musical graphs.
Do you own your own genetic data? The future of genomic databases is almost here, and now is the time to figure out how we are going to allow this information to be used.
There’s still far too much we don’t know about hate crimes in the US – and that affects how we study and enforce these crimes.
A focus on collaboration among African universities and research institutions is crucial in developing national policies that meet the principles of open data while keeping it safe from exploitation.
We have lots of data about hospital safety, but it’s not used to make us safer or more comfortable when we’re admitted.
Non-use of data may be an even bigger problem that its misuse.
Several studies suggest that suicide rates in the US vary along geographic patterns.
Gathering data and testing teachers’ knowledge allows researchers to develop scientifically-grounded advice for teacher education institutions.
The low share of women revealed in this data is problematic for two reasons: a lack of diversity, and what it shows about women’s participation in the social network of informal collaboration.
What can be done to prevent employers from rejecting individuals based on concern about future illnesses? Currently, nothing.
Cloud computing is on the rise, but so are questions about its security. This is why we need systems where the data itself enforces security, not just the cloud system within which it is contained.
There are good reasons why business has not been as successful as sports teams at implementing algorithmic decision-making.
After decades of continuous growth, participation rates have started to decline. What does it mean for the future of the sport?
Every government, business or organisation releasing data needs to think about how to ensure that the risk of re-identifying an individual or revealing personal information about someone is low.



















